Research Interest

I have been working on:

  • Distributed and decomposition algorithms for continuous/discrete optimization
  • Theory and algorithms based on nonconvex augmented Lagrangian duality
  • Convexification and smoothing in optimization
  • Primal heuristics for MILPs

See full publication list on Google Scholar.

Preprints

  • Wenqiang Pu, Kaizhao Sun, and Jiawei Zhang (2024) Smoothed Proximal Lagrangian Method for Nonlinear Constrained Programs [arXiv]

Refereed Papers

  • Kaizhao Sun and Xu Andy Sun (2024) Dual descent ALM and ADMM, SIAM Journal on Optimization, 34(2):1679-1707. [link][arXiv]

  • Kaizhao Sun, Mou Sun, and Wotao Yin (2024) Decomposition Methods for Global Solutions of Mixed-Integer Linear Programs, SIAM Journal on Optimization, 34(2): 1206-1235. [link][arXiv]

  • Ignacio Aravena, Daniel K Molzahn, Shixuan Zhang, et al. (2023) Recent Developments in Security-Constrained AC Optimal Power Flow: Overview of Challenge 1 in the ARPA-E Grid Optimization Competition, Operations Research, 71(6): 1997-2014. [link][arXiv]

  • Amin Gholami, Kaizhao Sun, Shixuan Zhang, and Andy Sun (2023) An ADMM-based Distributed Optimization Method for Solving Security-Constrained AC Optimal Power Flow, Operations Research, 71(6): 2045-2060. [link][arXiv]

  • Kaizhao Sun and Xu Andy Sun (2023) Algorithms for DC Programs based on Difference-of-Moreau-envelopes Smoothing, INFORMS Journal on Optimization, 5(4): 321-339. [link][arXiv]

  • Kaizhao Sun and Xu Andy Sun (2023) A Two-level Distributed Algorithm for Nonconvex Constrained Optimization, Computational Optimization and Applications, 84(2): 609–649. [link][arXiv]

    • Ranked #2 by the COAP Editorial Board out of 99 papers published in the journal in 2023.

  • Kaizhao Sun and Xu Andy Sun (2021) A Two-level ADMM Algorithm for AC OPF with Global Convergence Guarantees, IEEE Transactions on Power Systems, 36(6):5271-5281. [link][arXiv]